Panel
Featured Papers Panels 1A
Virtual
Moderators: Jianyu Xu · Ben Usman · Shiqian Ma · Yaoyao Liu
Each panel session is split into four 30-minute blocks composed of a set of lightning talks and a deep dive session related to similar topics. The deep dive will begin immediately after lightning talks and the related Q&A (it might be before the 15 min are over). We will not take any questions via microphone but ask you to use slido (see embedding below or go to https://slido.com and use keyword #neurips22). If you are a presenter or moderator, you should see a zoom link that you can use to join the session for Q&A.
Finally some important don'ts: DO NOT share any zoom or slido information publicly. DO NOT join zoom if you are not presenting or moderating.
Lightning Talks 1A-1
Siba Smarak Panigrahi · Xuhong Li · Mikhail Usvyatsov · Shaohan Chen · Sohan Patnaik · Haoyi Xiong · Nikolaos V Sahinidis · Rafael Ballester-Ripoll · Chuanhou Gao · Xingjian Li · Konrad Schindler · Xuanyu Wu · Zeyu Chen · Dejing Dou
- [ 64766 ] Transfer Learning in Information Criteria-based Feature Selection
- [ 64768 ] tntorch: Tensor Network Learning with PyTorch
- [ 64769 ] InterpretDL: Explaining Deep Models in PaddlePaddle
- [ 64774 ] [Re] Value Alignment Verification
Q&A on RocketChat immediately following Lightning Talks
Panel 1A-1: Near-Optimal Collaborative Learning… & Minimax Regret for…
Clémence Réda · Daniel Vial
Lightning Talks 1A-2
Urša Zrimšek · Andy Chen · Shion Matsumoto · Rohan Sinha Varma
- [ 64777 ] [Re] Projection-based Algorithm for Updating the TruncatedSVD of Evolving Matrices
- [ 64780 ] [Re] Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction
Q&A on RocketChat immediately following Lightning Talks
Panel 1A-2: Posterior Collapse of… & Understanding and Extending…
Fabrizio Frasca · Liu Ziyin
Lightning Talks 1A-3
Kimia Noorbakhsh · Ronan Perry · Qi Lyu · Jiawei Jiang · Christian Toth · Olivier Jeunen · Xin Liu · Yuan Cheng · Lei Li · Manuel Rodriguez · Julius von Kügelgen · Lars Lorch · Nicolas Donati · Lukas Burkhalter · Xiao Fu · Zhongdao Wang · Songtao Feng · Ciarán Gilligan-Lee · Rishabh Mehrotra · Fangcheng Fu · Jing Yang · Bernhard Schölkopf · Ya-Li Li · Christian Knoll · Maks Ovsjanikov · Andreas Krause · Shengjin Wang · Hong Zhang · Mounia Lalmas · Bolin Ding · Bo Du · Yingbin Liang · Franz Pernkopf · Robert Peharz · Anwar Hithnawi · Julius von Kügelgen · Bo Li · Ce Zhang
- [ 64809 ] Active Bayesian Causal Inference
- [ 64810 ] Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis
- [ 64811 ] Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders
- [ 64812 ] Provable Benefit of Multitask Representation Learning in Reinforcement Learning
- [ 64813 ] Self-Supervised Learning via Maximum Entropy Coding
- [ 64816 ] Counterfactual Temporal Point Processes
- [ 64817 ] Provable Subspace Identification Under Post-Nonlinear Mixtures
- [ 64818 ] VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely?
- [ 64819 ] Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching
Q&A on RocketChat immediately following Lightning Talks
Panel 1A-3: A gradient sampling… & Local Bayesian optimization…
Swati Padmanabhan · Quan Nguyen
Lightning Talks 1A-4
Siwei Wang · Jing Liu · Nianqiao Ju · Shiqian Li · Eloïse Berthier · Muhammad Faaiz Taufiq · Arsene Fansi Tchango · Chen Liang · Chulin Xie · Jordan Awan · Jean-Francois Ton · Ziad Kobeissi · Wenguan Wang · Xinwang Liu · Kewen Wu · Rishab Goel · Jiaxu Miao · Suyuan Liu · Julien Martel · Ruobin Gong · Francis Bach · Chi Zhang · Rob Cornish · Sanmi Koyejo · Zhi Wen · Yee Whye Teh · Yi Yang · Jiaqi Jin · Bo Li · Yixin Zhu · Vinayak Rao · Wenxuan Tu · Gaetan Marceau Caron · Arnaud Doucet · Xinzhong Zhu · Joumana Ghosn · En Zhu
- [ 64820 ] CoPur: Certifiably Robust Collaborative Inference via Feature Purification
- [ 64821 ] Data Augmentation MCMC for Bayesian Inference from Privatized Data
- [ 64822 ] Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning
- [ 64824 ] On the Learning Mechanisms in Physical Reasoning
- [ 64825 ] Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences
- [ 64827 ] GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
- [ 64828 ] Conformal Off-Policy Prediction in Contextual Bandits
- [ 64830 ] A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning
Q&A on RocketChat immediately following Lightning Talks
Panel 1A-4: Hardness of Noise-Free… & Adversarially Robust Learning:…
Aravind Gollakota · Omar Montasser